This book provides key ideas for the design and analysis of complex energy management systems (EMS) for distributed power networks. Future distributed power networks will have strong coupling with (electrified) mobility and information-communication technology (ICT) and this book addresses recent challenges for electric vehicles in the EMS, and how to synthesize the distributed power network using ICT. This book not only describes theoretical developments but also shows many applications using test beds and provides an overview of cutting edge technologies by leading researchers in their corresponding fields.
- Describes design and analysis of energy management systems;
- Illustrates the synthesis of distributed energy management systems based on aggregation of local agents;
- Discusses dependability issues of the distributed EMS with emphasis on the verification scheme based on remote-operational hardware-in-the-loop (HIL) simulation and cybersecurity.
Part I. Design and analysis of energy management systems considering
consumer demand and use of electric vehicles.
Chapter
1. Activity-based
modeling for integration of energy systems for house and electric vehicle.-
Chapter
2. Probabilistic model and prediction of vehicle daily use.
Chapter
3. Design of a home energy management system integrated to a vehicle(V2H+HPWH
EMS).
Chapter
4. Range extension autonomous driving for electric vehicles
based on optimization of velocity profile considering traffic signal
information.- Part II. Synthesis of distributed energy management systems
based on aggregation of local EMSs and vehicles.
Chapter
5. Real-time
pricing and decentralized optimization strategy for power flow balancing in
EV/PHV storage management.
Chapter
6. A scalable control approach for
providing regulation services with grid-integrated electric vehicles.-
Chapter
7. A continuum approach to assessing the impact of spatiotemporal EV
charging to distribution grids.- Part III. Toward dependable distributed
Energy Management System using ICT.
Chapter
8. Cyber security for voltage
control of distribution systems under data falsification attacks.
Chapter
9.
Machine learning based intrusion detection in control system communication.
Tatsuya Suzuki is a Professor at Nagoya Universitys Graduate School of Engineering.
Shinkichi Inagaki is an Associate Professor at Nagoya Universitys Graduate School of Engineering.
Yoshihiko Susuki is an Associate Professor at Osaka Prefecture Universitys Graduate School of Engineering.
Anh Tuan Tran is a Post Doctoral researcher at Nagoya Universitys Graduate School of Engineering. ng.
